Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Cross-lingual RST Discourse Parsing
EACL 2017
Cross-lingual tagger evaluation without test data
EACL 2017
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
EMNLP 2017
Cross-Lingual Word Embeddings for Low-Resource Language Modeling
EACL 2017
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles
EMNLP 2017
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data
IJCAI 2017
Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora
EACL 2017
Crowdsourcing Universal Part-of-Speech Tags for Code-Switching
Interspeech 2017
Curiosity-driven Exploration by Self-supervised Prediction
ICML 2017
Curriculum Learning in Reinforcement Learning
IJCAI 2017
CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification
IJCNLP 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
ICML 2017
DART: Noise Injection for Robust Imitation Learning
CoRL 2017
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)
ACL 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
CoRL 2017
Decoding with Value Networks for Neural Machine Translation
NeurIPS 2017
Deconvolutional Paragraph Representation Learning
NeurIPS 2017
Decoupling "when to update" from "how to update"
NeurIPS 2017
Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions
Interspeech 2017
Deep Automated Multi-task Learning
IJCNLP 2017
Deep Bayesian Active Learning with Image Data
ICML 2017
Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources
Interspeech 2017
Deep Descriptor Transforming for Image Co-Localization
IJCAI 2017
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
CVPR 2017
Deep Hashing Network for Unsupervised Domain Adaptation
CVPR 2017